JoJoGAN
gan-vae-pretrained-pytorch
| JoJoGAN | gan-vae-pretrained-pytorch | |
|---|---|---|
| 11 | 1 | |
| 1,400 | 162 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JoJoGAN
-
Can anyone tell me what type of model can do this?
I've tried style transfer and some GANs like this one: https://github.com/mchong6/JoJoGAN
-
✨ Best Computer Vision Projects with Source Code 🚀
🔗 https://github.com/mchong6/JoJoGAN
-
Does any anybody know how to write a dataloader script for JoJoGAN training?
And I quite liked and wanted to train this model with my own dataset, and always fell into the same error CUDA Out of Memory again and again. After searching across the internet for answers ended up finding it -> here.
-
In A Latest Computer Vision Research, Researchers Introduce ‘JoJoGAN’: An AI Method With One-Shot Face Stylization
Code for https://arxiv.org/abs/2112.11641 found: https://github.com/mchong6/JoJoGAN
-
Style Transfer from multiple style sources?
Since you want to use multiple images for style, it reminded me of this pipeline. In it you can take a dataset of style images and finetune a pretrained model for 500-1000 iterations to achieve the style from these images on new ones. I am not sure if that pipeline is what you need or not though, because it is built for faces in particular, but maybe you can take inspiration from their approach for a generic method.
-
Is there a AI which is able to edit images to make them look drawn?
Here are some models that do that with face images that I have tried out: AnimeGANv3 - this one just came out ArcaneGAN - for faces JoJoGAN - for faces
- Official PyTorch repo for JoJoGAN: One Shot Face Stylization
- JoJoGAN: One Shot Face Stylization
-
[R] JoJoGAN: One Shot Face Stylization
github: https://github.com/mchong6/JoJoGAN
gan-vae-pretrained-pytorch
-
DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images?
I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.
What are some alternatives?
AnimeGANv3 - Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
ArcaneGAN - ArcaneGAN
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
toonify
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
articulated-animation - Code for Motion Representations for Articulated Animation paper
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).